Lifelong learning has become a necessity to retain your workforce, attract millennials and enable digital transformations. So the question is not why L&D departments should have a lifelong policy, but how to promote it. Here are 3 complementary levers you should activate.
Algorithms have no limits. So it’s up to humans to watch over ethics when AI is at work, and to lay down the principles that will protect learners’ interests. Here are our antidotes to the three major risks that AI entails in training. AI has enormous potential in training. It can accommodate trainees’ learning preferences
Nowadays, a lot of data is available from training courses. It allows us to better understand the learning path and thus better surround the learners in their training. In the future, this data and many others will feed an AI that will considerably improve the training profession. Are you ready?
HR professionals are under growing pressure to provide training that has a measurable impact on their people, as well as being cost and time effective. No news here, but still a recurring challenge. When digital learning emerged as a viable platform for building skills many years ago, there was much talk about how e-learning would
AI’s application to learning environments is being driven by the rise of “learning buddies” who will be capable of assuming a range of learner-facing roles in the near future.
Artificial intelligence will be a powerful challenge to innovate in training. The goal is to make learners’ self-study more effective and equip trainers to guide and support them. Accordingly, we’d like you to examine three ways in which AI can be used to improve training and the learning environment.
In the decade ahead, it will be increasingly plausible to place learners and trainers at the centre of training courses built on data supplied by digital systems. This data provides the essential grounding that will enable artificial intelligence to take over training.